Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Scientists from the GAIA Initiative have now published a machine learning approach in the journal “Ecological Informatics” that improves how roaring behaviour can be studied. The algorithm can ...

A top securities litigation partner at Baker McKenzie argues that history—from dot-com fraud to ESG greenwashing—tells us exactly where AI disclosure claims are headed.

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

When building their AI capabilities, organizations should first understand what they need from an AI consultant.

GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

As we have moved to interconnected systems, digital artifacts wind up in the cloud, on the Internet, and in AI models,” said ...